Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm

Consensus Function Based on Clusters Clustering and Iterative Fusion of Base Clusters

(2019) Musa Mojarad et al.   INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS

A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters

(2019) Musa Mojarad et al.   APPLIED INTELLIGENCE

Diversity based cluster weighting in cluster ensemble: an information theory approach

(2019) Frouzan Rashidi et al.   ARTIFICIAL INTELLIGENCE REVIEW

Clustering ensemble selection considering quality and diversity

(2018) Sadr-olah Abbasi et al.   ARTIFICIAL INTELLIGENCE REVIEW

Development of a representative driving cycle for urban buses based on the K-means cluster method

(2018) Peng Yuhui et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data

(2018) Kai Peng et al.   IEEE Access

Elite fuzzy clustering ensemble based on clustering diversity and quality measures

(2018) Ali Bagherinia et al.   APPLIED INTELLIGENCE

Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI

(2017) Anton Niukkanen et al.   JOURNAL OF DIGITAL IMAGING

A comprehensive study of clustering ensemble weighting based on cluster quality and diversity

(2017) Ahmad Nazari et al.   PATTERN ANALYSIS AND APPLICATIONS

Locating Structural Centers: A Density-Based Clustering Method for Community Detection

(2017) Xiaofeng Wang et al.   PLoS One

Performance Evaluation of Missing-Value Imputation Clustering Based on a Multivariate Gaussian Mixture Model

(2016) Jing Xiao et al.   PLoS One

Student data mining solution–knowledge management system related to higher education institutions

(2014) Srečko Natek et al.   EXPERT SYSTEMS WITH APPLICATIONS

A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm

(2014) Hamid Parvin et al.   PATTERN ANALYSIS AND APPLICATIONS

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation

(2014) Xiaohui Huang et al.   IEEE Transactions on Neural Networks and Learning Systems

Data weighing mechanisms for clustering ensembles

(2013) Hamid Parvin et al.   COMPUTERS & ELECTRICAL ENGINEERING

Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans

(2013) Chien-Liang Liu et al.   FUZZY SETS AND SYSTEMS

A clustering ensemble framework based on elite selection of weighted clusters

(2013) Hamid Parvin et al.   Advances in Data Analysis and Classification

The association between non-medical prescription drug use, depressive symptoms, and suicidality among college students

(2012) Keith J. Zullig et al.   ADDICTIVE BEHAVIORS

Effects of resampling method and adaptation on clustering ensemble efficacy

(2011) Behrouz Minaei-Bidgoli et al.   ARTIFICIAL INTELLIGENCE REVIEW

A Fast Quartet tree heuristic for hierarchical clustering

(2010) Rudi L. Cilibrasi et al.   PATTERN RECOGNITION

A Novel Hierarchical-Clustering-Combination Scheme Based on Fuzzy-Similarity Relations

(2009) A. Mirzaei et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multiple health behavior clusters among female college students

(2009) Lisa Quintiliani et al.   PATIENT EDUCATION AND COUNSELING

An assessment of climatological synoptic typing by principal component analysis and kmeans clustering

(2009) Charles Cuell et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Mining students’ behavior in web-based learning programs

(2008) Man Wai Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS